Exploration with SVD

Feature and classification vectors

Joining, by = "property"

Outer products

Call:
lm(formula = mean ~ mode_1 + mode_2 + mode_3 + mode_4 + mode_5 + 
    mode_6, data = d_reg)

Residuals:
     Min       1Q   Median       3Q      Max 
-0.45854 -0.11041 -0.00305  0.11604  0.70238 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.066e-17  1.328e-02   0.000 1.000000    
mode_1       1.015e+00  1.782e-01   5.692 5.27e-08 ***
mode_2       6.187e-01  1.782e-01   3.471 0.000654 ***
mode_3       2.375e-02  1.782e-01   0.133 0.894153    
mode_4      -2.688e-01  1.782e-01  -1.508 0.133315    
mode_5       1.476e-01  1.782e-01   0.828 0.408630    
mode_6      -2.129e-01  1.782e-01  -1.194 0.233979    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1782 on 173 degrees of freedom
Multiple R-squared:  0.2202,    Adjusted R-squared:  0.1932 
F-statistic: 8.143 on 6 and 173 DF,  p-value: 9.206e-08

Analysis of Variance Table

Model 1: mean ~ mode_1
Model 2: mean ~ mode_1 + mode_2
Model 3: mean ~ mode_1 + mode_2 + mode_3
Model 4: mean ~ mode_1 + mode_2 + mode_3 + mode_4
Model 5: mean ~ mode_1 + mode_2 + mode_3 + mode_4 + mode_5
Model 6: mean ~ mode_1 + mode_2 + mode_3 + mode_4 + mode_5 + mode_6
  Res.Df    RSS Df Sum of Sq       F    Pr(>F)    
1    178 6.0186                                   
2    177 5.6357  1   0.38283 12.0509 0.0006538 ***
3    176 5.6352  1   0.00056  0.0178 0.8941526    
4    175 5.5629  1   0.07227  2.2748 0.1333145    
5    174 5.5411  1   0.02180  0.6861 0.4086299    
6    173 5.4958  1   0.04531  1.4265 0.2339788    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

parameter	SV	beta	beta_se	beta_t	beta_p	signif
mode_1	1.789	1.015	0.178	5.692	0.000	***
mode_2	1.530	0.619	0.178	3.471	0.001	***
mode_3	0.930	0.024	0.178	0.133	0.894	n.s.
mode_4	0.468	-0.269	0.178	-1.508	0.133	n.s.
mode_5	0.351	0.148	0.178	0.828	0.409	n.s.
mode_6	0.327	-0.213	0.178	-1.194	0.234	n.s.

Plotting properties in 2D spaces

Joining, by = "property"

Joining, by = "property"

Joining, by = "property"

Plotting items in 2D spaces